Ipsilateral cochlear implantation in cases with vestibular schwannoma
Bibliographic record
Abstract
Abstract Background Vestibular schwannomas (VS) are the most common tumors in the cerebellopontine angle, which can lead to hearing loss, particularly following tumor resection. For patients with bilateral VS associated with neurofibromatosis type 2 (NF2), hearing loss significantly undermines their quality of life. Objective This study aims to evaluate the outcomes of ipsilateral cochlear implantation (CI) in patients with VS. Method We assessed six patients with VS, three of whom were diagnosed with NF2. Four patients underwent VS resection combined with simultaneous ipsilateral CI. Two patients received CI without tumor removal. Electrically evoked auditory brainstem response (eABR) testing was employed to assess the functionality of the cochlear nerve during the resection procedure. Results Simultaneous ipsilateral CI following VS resection was performed in four patients who underwent tumor removal, and cochlear nerve function was identified using eABR testing. Two patients without tumor resection also had implantations. The average impedance of the test electrodes was within the normal range and neural telemetry responses were detected in all patients. One patient opted out of using the cochlear due to normal hearing in the contralateral ear and found the implant unbeneficial. The remaining five patients experienced improvements in hearing, albeit to varying degrees. Conclusion Simultaneous ipsilateral CI after VS resection is an effective approach for auditory rehabilitation. For NF2 patients with small, stable tumors, CI without tumor removal can also be considered a viable option. This study highlights the potential of CI in hearing rehabilitation for patients with VS, particularly those with NF2.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".